



'''simple docstring'''






from __future__ import annotations
def  lowerCamelCase__			(		_A					,     _A							):
  # Checks if the entire collection has been sorted
  if len(_A							) <= 1 or n <= 1:
    return

  insert_next(_A					,     n - 1							)
  rec_insertion_sort(_A					,     n - 1							)
def  lowerCamelCase__			(		_A					,     _A							):
  # Checks order between adjacent elements
  if index >= len(_A							) or collection[index - 1] <= collection[index]:
    return

  # Swaps adjacent elements since they are not in ascending order
  a  ,      a		:   Optional[Any]	  =	(
      collection[index],
      collection[index - 1],
  )

  insert_next(_A					,     index + 1							)


if __name__ == "__main__":
     lowerCAmelCase:   Tuple					=		input('Enter integers separated by spaces: ')
     lowerCAmelCase:   list[int]					=		[int(num) for num in numbers.split()]
     rec_insertion_sort(number_list, len(number_list))
     print(number_list)




'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowerCAmelCase:   Dict					=		{'configuration_vit_mae': ['VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMAEConfig']}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase:   Optional[int]					=		[
         'VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST',
         'ViTMAEForPreTraining',
         'ViTMAELayer',
         'ViTMAEModel',
         'ViTMAEPreTrainedModel',
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCAmelCase:   List[Any]					=		[
         'TFViTMAEForPreTraining',
         'TFViTMAEModel',
         'TFViTMAEPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_vit_mae import (
              VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
              ViTMAEForPreTraining,
              ViTMAELayer,
              ViTMAEModel,
              ViTMAEPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
     import sys

     lowerCAmelCase:   Tuple					=		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)